Pliant raises $80M to expand AI-driven B2B payments in US and Canada
Berlin-based fintech Pliant has secured $80 million in a Series C funding round led by Seaya Nova and Speedinvest. The company will use the funds to expand its AI-powered B2B payments platform into the US and Canada, while also accelerating its AI roadmap for automating finance workflows.
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Funding and growth
Berlin-based fintech Pliant has raised $80 million in a Series C funding round led by Seaya Nova and Speedinvest. The round also included participation from Illuminate Financial, Motive Partners, and Molten Ventures.
The company, founded in 2020, has doubled its business annually for the past three years and recently surpassed $100 million in annual recurring revenue (ARR). Pliant employs over 300 people across eight offices.
AI-driven payment automation
Pliant’s platform integrates commercial card issuing, payment accounts, foreign exchange, and spend management. The company is now expanding its capabilities to include AI agents that automate recurring finance workflows for customers.
AI agents, including those from third-party providers like Claude and ChatGPT, can connect to Pliant’s platform via the Model Context Protocol (MCP). This allows them to execute payment workflows within broader business processes while maintaining permissions, controls, and audit trails.
Pliant is a principal member of Visa and Mastercard and issues commercial cards in 13 currencies across 32 countries. It also operates through regulated partners in the UK and US.
Expansion plans and competitive landscape
The $80 million funding will support Pliant’s expansion in the US and Canada, as well as entry into additional markets. The company’s customers include travel, insurance, and AI-native companies, alongside banks, fintechs, and software platforms that use its infrastructure to power their own commercial card offerings.
The funding round reflects growing competition in the B2B payments space. Pliant’s US rival, Ramp, reached a $60 billion valuation in October. Earlier pilots, such as one conducted by Visa, BILL, and Billtrust, demonstrated AI agents autonomously paying supplier invoices, signaling broader industry adoption of AI-driven payment solutions.
What this means
Lazyfounder analysis — our interpretation, not reported fact.
Pliant’s $80 million raise and its push into AI-driven B2B payments signal two trends that matter for founders and operators in fintech and adjacent sectors.
First, the funding validates the demand for embedded payment infrastructure that goes beyond issuing cards or processing transactions. Pliant’s platform combines issuing, foreign exchange, and spend management, and now adds AI agents that can autonomously execute workflows like supplier payments. This suggests that startups building vertical SaaS or marketplaces may find value in integrating such capabilities rather than relying on standalone payment providers.
Second, the expansion into the US and Canada highlights the opportunity for European fintechs to scale into North America. Pliant’s growth—doubling revenue annually and surpassing $100 million ARR—shows that a regulated, multi-currency card-issuing model can achieve scale. For startups in similar spaces, this could serve as a blueprint for balancing compliance with rapid growth.
Finally, the use of AI agents to automate finance workflows reflects a broader shift toward intelligent automation in B2B software. Pliant’s Model Context Protocol (MCP) allows third-party AI agents to plug into its platform, which could lower the barrier for businesses to adopt AI-driven payment processes. Startups in fintech, AI, or business automation should consider how their own platforms might enable or compete with these integrations.
Related on Lazyfounder
Sources
- The Next Web · 2026-11-04
Pliant raises $80M to open its B2B payments platform to AI agents
This story is an original summary drafted with AI by Lazyfounder from the reporting listed above and checked by automated validation. Facts are attributed to their original publishers; sections marked as analysis are Lazyfounder's. Where a source is in another language, facts were machine-translated and quotations are reported, not reproduced. Read the original coverage via the links, and see our AI policy and corrections policy.
About the author
Editor, Lazyfounder
Tarun Mottlia edits LazyFounders, covering Indian startups, funding rounds, AI and product launches. Every story on the site is AI-assisted and checked against its cited sources before publication.
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